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Machine Learning Engineer Python Jobs in Schaumburg, IL

UST Inc

AWS Machine Learning Engineer

Chicago, IL · On-site

$72K - $108K/yr

Technical Skills: * 5+ years in software/ML engineering, with strong hands-on experience in Python ... sagemaker,machine learning,aws,python,amazon s3,aws lambda,aws step functions, Benefits ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Python. • Strong background in advanced Python and big data technologies • Experience with ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Strong background in advanced Python and big data technologies. * Experience with cloud ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Iterable

Senior Machine Learning Engineer (Nova)

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer (Nova) Iterable is the leading AI-powered customer engagement ... Strong engineering skills with Python or TypeScript, including experience building ML workflows in ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

IMC Inc

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Deep proficiency in Python, with strong experience in either CUDA or C++ * Hands-on expertise with ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Deep proficiency in Python, with strong experience in either CUDA or C++ * Hands-on expertise with ...

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Deep proficiency in Python, with strong experience in either CUDA or C++ * Hands-on expertise with ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Strong object oriented development experience using Python, Java, C# * Familiarity with big data ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Schaumburg, IL

Machine Learning Engineer Python information

See Schaumburg, IL salary details

$22.6K

$137.4K

$198.8K

How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Schaumburg, IL is $137,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Schaumburg, IL? For Machine Learning Engineer Python jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Schaumburg, IL look for? The top searched job categories for Machine Learning Engineer Python jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Machine Learning Engineer Python jobs? Cities near Schaumburg, IL with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL

$53 - $72.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Reyes Coca-Cola Bottling rating

8.2

Company rating: 8.2 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

58th of 387 rated food and drinks producers

Job description

Position Responsibilities: 

  • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models 
  • Deploy and manage ML models in production environments using containerization and orchestration technologies 
  • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift 
  • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state 
  • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments 
  • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes 
  • Travel up to 5% of the time 
  • Other duties as assigned  

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar
Education:UNAVAILABLEEmployment Type: FULL_TIME

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